Abstract: Graph Signal Processing (GSP) offers a structured way to model and analyze complex data networks. However, a consistent challenge in real world applications is that the underlying graph ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

Abstract: Graph embedding has become an increasingly important technique for analyzing graph-structured data. By representing nodes in a graph as vectors in a low-dimensional space, graph embedding ...

I've been playing video games since roughly around the time I developed the cognitive function to do so. In addition to acting, producing, and writing for film and television, Ben Stiller is also a ...

Advanced Artificial Intelligence Theoretical and Computational Chemistry Laboratory, School of Chemistry, University of Hyderabad, Hyderabad, Telangana 500046, India ...

Trophic coherence and non-normality are both ways of describing the overall directionality of directed graphs or networks. Trophic coherence can be regarded as a measure of how neatly a graph can be ...

Add a description, image, and links to the directed-graph topic page so that developers can more easily learn about it.

This java swing gui project is a comprehensive scheduling system for a Pediatric Endocrinology Clinic. It uses Directed Graph data structure to efficiently model the complex relationships and ...